A guide to robust statistical methods / Rand R. Wilcox.

Unlimited

Authorized users

Can lend chapters, not whole ebooks

A guide to robust statistical methods / Rand R. Wilcox.

9783031417139 electronic book
3031417135 electronic book
9783031417122
3031417127

Cham : Springer, 2023.

English

1 online resource (xvii, 326 pages) : illustrations

10.1007/978-3-031-41713-9 doi

QA276 .W55 2023

Robust statistical methods are now being used in a wide range of disciplines. The appeal of these methods is that they are designed to perform about as well as classic techniques when standard assumptions are true -- but they continue to perform well in situations where classic methods perform poorly. This book provides a relatively non-technical guide to modern methods. The focus is on applying modern methods using R, understanding when and why classic methods can be unsatisfactory, and fostering a conceptual understanding of the relative merits of different techniques. A recurring theme is that no single method reveals everything one would like to know about the population under study. An appeal of robust methods is that under general conditions they provide much higher power than conventional techniques. Perhaps more importantly, they help provide a deeper and more nuanced understanding of data. The book is for readers who had at least one semester of statistics, aimed at non-statisticians.

Includes bibliographical references and index.

Access limited to authorized users.

Online resource; title from PDF title page (SpringerLink, viewed October 30, 2023).

Print version: 9783031417122

Online Resources > Ebooks
All Resources